| Automatic Detection of 3D Lighting Inconsistencies Via a Facial Landmark Based Morphable Model | |
Peng, Bo1 ; Wang, Wei1; Dong, Jing1,2; Tieniu, Tan1; Wei Wang
| |
| 2016 | |
| 会议名称 | IEEE International Conference on Image Processing |
| 会议录名称 | Proceedings of 2016 IEEE International Conference on Image Processing |
| 页码 | 3932-3936 |
| 会议日期 | September 25–28, 2016 |
| 会议地点 | Phoenix, Arizona, USA |
| 摘要 | Existing 3D lighting consistency based forensic methods have some practical problems. They usually require additional images and human labor to reconstruct the 3D face model for lighting estimation, and furthermore, they cannot deal with expressional faces effectively. These drawbacks make them unusable in many practical cases. In this paper, we propose a more practical 3D lighting based forensic method by incorporating a facial landmark based 3D morphable model to efficiently fit the face shape. We also introduce a residual error based algorithm to automatically exclude outliers in lighting estimation. Our proposed method is fully automatic and very efficient compared to previous ones. Also, it does not depend on additional images and has better performance for expressional faces. Experiments on a realistic face dataset with variational lighting conditions indicate the efficacy and superiority of our method. |
| 关键词 | Image Forensics 3d Morphable Model Face Splicing Lighting Consistency |
| 收录类别 | EI |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/12302 |
| 专题 | 智能感知与计算研究中心 |
| 通讯作者 | Wei Wang |
| 作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.Chinese Acad Sci, Inst Informat Engn, State Key Lab Informat Secur, Beijing 100093, Peoples R China |
| 第一作者单位 | 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Peng, Bo,Wang, Wei,Dong, Jing,et al. Automatic Detection of 3D Lighting Inconsistencies Via a Facial Landmark Based Morphable Model[C],2016:3932-3936. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 07533097.pdf（751KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论